Calendar

Apr
24
Fri
2020
Mini-Grand Rounds - Ann Leung, MD @ Zoom
Mini-Grand Rounds – Ann Leung, MD
Apr 24 @ 7:00 am – 7:30 am Zoom
Mini-Grand Rounds - Ann Leung, MD @ Zoom

Mini-Grand Rounds: Stanford University Medical Center and COVID-19: A Chest Radiologist’s Perspective

Ann Leung, MD
Associate Chair, Clinical Affairs
Professor, Radiology

7:00am – 7:30am, Zoom

The Stanford Radiology Mini-Grand Round live session events are by invitation only. Invites with link to Zoom video will be sent via email to Department faculty and staff only. Recordings will be made available to the public shortly after the event.

Apr
27
Mon
2020
Mini-Grand Rounds - David Larson, MD, MBA @ Zoom
Mini-Grand Rounds – David Larson, MD, MBA
Apr 27 @ 7:00 am – 7:30 am Zoom
Mini-Grand Rounds - David Larson, MD, MBA @ Zoom

Mini-Grand Rounds: The Outlook for Radiology in the Next Phases of the Pandemic and Beyond

David Larson, MD, MBA
Vice Chair, Education and Clinical Operations
Associate Professor, Radiology

7:00am – 7:30am, Zoom

The Stanford Radiology Mini-Grand Round live session events are by invitation only. Invites with link to Zoom video will be sent via email to Department faculty and staff only. Recordings will be made available to the public shortly after the event.

Jun
20
Sat
2020
Stanford School of Medicine's - 1st Annual Conference on Disability in Healthcare and Medicine @ Zoom Webinar
Stanford School of Medicine’s – 1st Annual Conference on Disability in Healthcare and Medicine
Jun 20 @ 8:00 am – 2:30 pm Zoom Webinar
Stanford School of Medicine's - 1st Annual Conference on Disability in Healthcare and Medicine @ Zoom Webinar

Stanford School of Medicine’s
1st Annual Conference on Disability in Healthcare and Medicine

Saturday, June 20, 2020

8:00am – 2:30pm Pacific Daylight Time (PDT)
Zoom Webinar

The conference goals are:

  • Supporting students and healthcare providers with disabilities
  • Training healthcare providers to better care for patients with disabilities
  • Research into the intersection of providers and patients with disabilities

Target audience:

  • Nursing students and nurses
  • PA students and PA’s
  • Medical students and medical doctors
  • All other interested healthcare providers and allies

Register Today!

Oct
9
Fri
2020
3rd Annual Diversity & Inclusion Forum @ Virtual Event - See Description to Register
3rd Annual Diversity & Inclusion Forum
Oct 9 @ 8:00 am – 1:30 pm Virtual Event - See Description to Register
3rd Annual Diversity & Inclusion Forum @ Virtual Event - See Description to Register

Join us for the 3rd Annual Diversity and Inclusion Forum on Friday, October 9, 2020 on Zoom! This virtual event will highlight innovative workshops developed by our residents and fellows with their educational mentors who have participated in the 2019-2020 cohort of the Leadership Education in Advancing Diversity Program.

The event will be an enriching opportunity for all faculty, residents, fellows, postdocs, students, staff, and community members to learn tools and strategies to enable them to become effective change agents for diversity, equity, and inclusion in medical education.

All are welcome to participate and we look forward to seeing you on Friday, October 9!

Register here:

https://mailchi.mp/046c21726371/diversityforum2020-1632872?e=4a913cab2d

Oct
15
Thu
2020
StanfordMed LIVE - Disability Town Hall @ Virtual Event - See Description for Livestream Link
StanfordMed LIVE – Disability Town Hall
Oct 15 @ 12:00 pm – 1:00 pm Virtual Event - See Description for Livestream Link
StanfordMed LIVE - Disability Town Hall @ Virtual Event - See Description for Livestream Link

In honor of the 30th anniversary of the Americans with Disabilities Act and October as National Disability Employment Awareness Month, join the Stanford Medicine Abilities Coalition (SMAC) for a first of its kind StanfordMed LIVE event focused on disability. Now more than ever during the COVID-19 pandemic, disabilities, health conditions, and illness impact not only our patients but also all of us, both personally and as members of the Stanford Medicine community. Stanford Medicine leadership will share information, answer questions, and engage in a roundtable discussion about the state of disability at Stanford and how best to support faculty, staff, and students living with disability and chronic illness. We encourage our community to submit questions and comments here to be shared broadly with the Stanford Medicine community. The same link can be used to request any accommodations needed for the livestream. Additional information for the webcast itself will be sent out closer to the event.

Livestream link: https://livestream.com/accounts/1973198/events/9288854

Oct
21
Wed
2020
SCIT Quarterly Seminar @ See description for ZOOM link
SCIT Quarterly Seminar
Oct 21 @ 10:00 am – 11:00 am See description for ZOOM link

ZOOM LINK HERE

“High Resolution Breast Diffusion Weighted Imaging”
Jessica McKay, PhD

ABSTRACT: Diffusion-weighted imaging (DWI) is a quantitative MRI method that measures the apparent diffusion coefficient (ADC) of water molecules, which reflects cell density and serves as an indication of malignancy. Unfortunately, however, the clinical value of DWI is severely limited by the undesirable features in images that common clinical methods produce, including large geometric distortions, ghosting and chemical shift artifacts, and insufficient spatial resolution. Thus, in order to exploit information encoded in diffusion characteristics and fully assess the clinical value of ADC measurements, it is first imperative to achieve technical advancements of DWI.

In this talk, I will largely focus on the background of breast DWI, providing the clinical motivation for this work and explaining the current standard in breast DWI and alternatives proposed throughout the literature. I will also present my PhD dissertation work in which a novel strategy for high resolution breast DWI was developed. The purpose of this work is to improve DWI methods for breast imaging at 3 Tesla to robustly provide diffusion-weighted images and ADC maps with anatomical quality and resolution. This project has two major parts: Nyquist ghost correction and the use of simultaneous multislice imaging (SMS) to achieve high resolution. Exploratory work was completed to characterize the Nyquist ghost in breast DWI, showing that, although the ghost is mostly linear, the three-line navigator is unreliable, especially in the presence of fat. A novel referenceless ghost correction, Ghost/Object minimization was developed that reduced the ghost in standard SE-EPI and advanced SMS. An advanced SMS method with axial reformatting (AR) is presented for high resolution breast DWI. In a reader study, AR-SMS was preferred by three breast radiologists compared to the standard SE-EPI and readout-segmented-EPI.


“Machine-learning Approach to Differentiation of Benign and Malignant Peripheral Nerve Sheath Tumors: A Multicenter Study”

Michael Zhang, MD

ABSTRACT: Clinicoradiologic differentiation between benign and malignant peripheral nerve sheath tumors (PNSTs) is a diagnostic challenge with important management implications. We sought to develop a radiomics classifier based on 900 features extracted from gadolinium-enhanced, T1-weighted MRI, using the Quantitative Imaging Feature Pipeline and the PyRadiomics package. Additional patient-specific clinical variables were recorded. A radiomic signature was derived from least absolute shrinkage and selection operator, followed by gradient boost machine learning. A training and test set were selected randomly in a 70:30 ratio. We further evaluated the performance of radiomics-based classifier models against human readers of varying medical-training backgrounds. Following image pre-processing, 95 malignant and 171 benign PNSTs were available. The final classifier included 21 features and achieved a sensitivity 0.676, specificity 0.882, and area under the curve (AUC) 0.845. Collectively, human readers achieved sensitivity 0.684, specificity 0.742, and AUC 0.704. We concluded that radiomics using routine gadolinium enhanced, T1-weighted MRI sequences and clinical features can aid in the evaluation of PNSTs, particularly by increasing specificity for diagnosing malignancy. Further improvement may be achieved with incorporation of additional imaging sequences.

Nov
18
Wed
2020
IBIIS & AIMI Seminar: Deep Tomographic Imaging @ Zoom: https://stanford.zoom.us/j/96731559276?pwd=WG5zcEFwSGlPcDRsOUFkVlRhcEs2Zz09
IBIIS & AIMI Seminar: Deep Tomographic Imaging
Nov 18 @ 12:00 pm – 1:00 pm Zoom: https://stanford.zoom.us/j/96731559276?pwd=WG5zcEFwSGlPcDRsOUFkVlRhcEs2Zz09

Ge Wang, PhD
Clark & Crossan Endowed Chair Professor
Director of the Biomedical Imaging Center
Rensselaer Polytechnic Institute
Troy, New York

Abstract:
AI-based tomography is an important application and a new frontier of machine learning. AI, especially deep learning, has been widely used in computer vision and image analysis, which deal with existing images, improve them, and produce features. Since 2016, deep learning techniques are actively researched for tomography in the context of medicine. Tomographic reconstruction produces images of multi-dimensional structures from externally measured “encoded” data in the form of various transforms (integrals, harmonics, and so on). In this presentation, we provide a general background, highlight representative results, and discuss key issues that need to be addressed in this emerging field.

About:
AI-based X-ray Imaging System (AXIS) lab is led by Dr. Ge Wang, affiliated with the Department of Biomedical Engineering at Rensselaer Polytechnic Institute and the Center for Biotechnology and Interdisciplinary Studies in the Biomedical Imaging Center. AXIS lab focuses on innovation and translation of x-ray computed tomography, optical molecular tomography, multi-scale and multi-modality imaging, and AI/machine learning for image reconstruction and analysis, and has been continuously well funded by federal agencies and leading companies. AXIS group collaborates with Stanford, Harvard, Cornell, MSK, UTSW, Yale, GE, Hologic, and others, to develop theories, methods, software, systems, applications, and workflows.

Apr
10
Sat
2021
Stanford School of Medicine's 2nd Annual Conference on Disability in Healthcare and Medicine
Stanford School of Medicine’s 2nd Annual Conference on Disability in Healthcare and Medicine
Apr 10 @ 8:00 am – 6:00 pm
Stanford School of Medicine's 2nd Annual Conference on Disability in Healthcare and Medicine

Date: April 10, 2021 (8 AM-6PM)

    • 8 AM-8:20 AM opening remarks Zainub and Pete
    • 8:20 AM-9:20 AM Talk 1 “I fought the law and no one won”
  • 10 minute Break
  • 9:30 AM-10:30 AM talk 2 students and doctors with disabilities panel
  • 20 minute break
    • 10:50 AM-11:50 AM Breakout
    • One hour lunch  (TBD)
    • 12:50 PM-1:50 PM Talk 3 the frontiers of disability research 
  • Lisa Meeks is moderating
  • Bonnie Swenor invited
    • 10 minute break
    • 2:00 PM-3:00 PM breakout 2
  • 10 minute break
  • 3:10 PM-4:10 PM talk 4 do-it-yourself disability advocacy (Poullos/Tolchin with students)
  • 4:10 PM-4:30 PM closing remarks
  • 4:30 PM-6 PM virtual happy hour

 

 

Oct
14
Thu
2021
Alone in the Ring - presented by SMAC and Stanford Medicine and the Muse
Alone in the Ring – presented by SMAC and Stanford Medicine and the Muse
Oct 14 @ 5:30 pm – 7:00 pm
Alone in the Ring - presented by SMAC and Stanford Medicine and the Muse

Alone in the Ring (a research-based theatre production about inclusive healthcare workplaces) is coming to campus during the Annual Stanford School of Medicine Diversity Week and National Disability Employment Awareness Month, SMAC and Stanford Medicine and the Muse hope to continue the discussion on how to spark and sustain change towards inclusive workspaces. Alone in the Ring is followed by a discussion between the team and audience members. During the presentation, audience members are encouraged to reflect: How inclusive is your workspace? How could you make it more accessible?

Register for this event 

Oct
26
Tue
2021
Health Equity Action Leadership (HEAL Network) Fireside Chat
Health Equity Action Leadership (HEAL Network) Fireside Chat
Oct 26 @ 12:00 pm – 1:00 pm
Health Equity Action Leadership (HEAL Network) Fireside Chat

Office of Faculty Development and Diversity and SMAC.

The OFDD team welcomes all Stanford community members to join our inaugural Health Equity Action Leadership (HEAL Network) event, Health Equity Research in the Latinx Community, where faculty who do this work will share their experiences in a fireside chat panel.

Moderator: Lisa Goldman-Rosas

Speakers: Dr. Ken Sutha, Dr. Peter Poullos, Dr. Holly Tabor